89 lines
2.1 KiB
Python
89 lines
2.1 KiB
Python
import hazm
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from cleantext import clean
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import re
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def cleanhtml(raw_html):
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cleanr = re.compile('<.*?>')
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cleantext = re.sub(cleanr, '', raw_html)
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return cleantext
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normalizer = hazm.Normalizer()
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wierd_pattern = re.compile("["
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u"\U0001F600-\U0001F64F" # emoticons
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u"\U0001F300-\U0001F5FF" # symbols & pictographs
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u"\U0001F680-\U0001F6FF" # transport & map symbols
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u"\U0001F1E0-\U0001F1FF" # flags (iOS)
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u"\U00002702-\U000027B0"
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u"\U000024C2-\U0001F251"
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u"\U0001f926-\U0001f937"
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u'\U00010000-\U0010ffff'
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u"\u200d"
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u"\u2640-\u2642"
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u"\u2600-\u2B55"
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u"\u23cf"
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u"\u23e9"
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u"\u231a"
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u"\u3030"
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u"\ufe0f"
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u"\u2069"
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u"\u2066"
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u"\u200c"
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u"\u2068"
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u"\u2067"
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"]+", flags=re.UNICODE)
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def cleaning(text):
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text = text.strip()
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# regular cleaning
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# text = clean(text,
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# fix_unicode=True,
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# to_ascii=False,
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# lower=True,
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# no_line_breaks=True,
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# no_urls=True,
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# no_emails=True,
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# no_phone_numbers=True,
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# no_numbers=False,
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# no_digits=False,
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# no_currency_symbols=True,
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# no_punct=False,
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# replace_with_url="",
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# replace_with_email="",
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# replace_with_phone_number="",
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# replace_with_number="",
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# replace_with_digit="0",
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# replace_with_currency_symbol="",
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# )
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text = clean(text,
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extra_spaces = True,
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lowercase = True
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)
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# cleaning htmls
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text = cleanhtml(text)
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# normalizing
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text = normalizer.normalize(text)
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# removing wierd patterns
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text = wierd_pattern.sub(r'', text)
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# removing extra spaces, hashtags
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text = re.sub("#", "", text)
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text = re.sub("\s+", " ", text)
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return text
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# with open('./ghavanins.txt', encoding="utf-8") as fp:
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# current_content = fp.read()
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# current_content = cleaning(current_content)
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# with open('./ghavanins2.txt', 'wb') as f:
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# f.write(current_content.encode('utf-8', 'ignore')) |